CT imaging findings of renal epithelioid lipid-poor angiomyolipoma
Author:
Funder
natural science foundation of hunan province
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-08528-y.pdf
Reference32 articles.
1. Razik A, Das CJ, Sharma S (2019) Angiomyolipoma of the kidneys: current perspectives and challenges in diagnostic imaging and image-guided therapy. Curr Probl Diagn Radiol 48:251–261
2. Feng Z, Rong P, Cao P et al (2018) Machine learning-based quantitative texture analysis of CT images of small renal masses: differentiation of angiomyolipoma without visible fat from renal cell carcinoma. Eur Radiol 28:1625–1633
3. Prasad SR, Surabhi VR, Menias CO, Raut AA, Chintapalli KN (2008) Benign renal neoplasms in adults: cross-sectional imaging findings. AJR Am J Roentgenol 190:158–164
4. Lee W, Choi SY, Lee C et al (2018) Does epithelioid angiomyolipoma have poorer prognosis, compared with classic angiomyolipoma. Investig Clin Urol 59:357–362
5. Chen C, Kang Q, Xu B et al (2018) Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion. Abdom Radiol (NY) 43:1223–1230
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